Qi Bi
22 papers · 2021–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
π€
Dynamic Duo
(13)
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(102)
Top co-authors
Research topics
Computer Vision
(17)
Machine Learning
(16)
Deep Learning
(14)
Learning Types Β· Deep Learning
(12)
Analysis
(11)
Application Areas
(10)
Artificial Intelligence
(8)
Core AI Β· Artificial Intelligence
(7)
Domain-Specific
(6)
Architectures
(5)
Learning Types Β· Machine Learning
(5)
Processing
(5)
Healthcare & Medicine
(4)
Clinical
(3)
Core AI Β· Computer Vision
(2)
Keywords
semantic segmentation
(8)
domain generalization
(8)
medical image segmentation
(3)
weakly supervised learning
(3)
state space model
(3)
model compression
(2)
style variation
(2)
low-rank adaptation
(2)
vision foundation model
(2)
domain adaptation
(2)
salient object detection
(2)
depth estimation
(2)
parameter-efficient fine-tuning
(2)
multimodal learning
(2)
discrete cosine transform
(2)
image fusion
(1)
semi-supervised learning
(1)
attention mechanism
(1)
image segmentation
(1)
transformer architecture
(1)
Papers
SAM3-I: Segment Anything with Instructions
ACL 2026
AdaDCP: Learning an Adapter with Discrete Cosine Prior for Clear-to-Adverse Domain Generalization
ICCV 2025
A Simple yet Mighty Hartley Diffusion Versatilist for Generalizable Dense Vision Tasks
ICCV 2025
D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM
MICCAI 2025
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
AAAI 2025
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
AAAI 2025
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection
ACL 2025
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation
CVPR 2025
SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation
NAACL 2025
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure
AAAI 2024
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation
MICCAI 2024
Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
AAAI 2024
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
NeurIPS 2024
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries
AAAI 2024
Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance
AAAI 2024
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
NeurIPS 2024
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation
AAAI 2022
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
ICLR 2022
Calibrated RGB-D Salient Object Detection
CVPR 2021
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
NeurIPS 2021
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling
CVPR 2021
Temporal Cue Guided Video Highlight Detection With Low-Rank Audio-Visual Fusion
ICCV 2021